In this episode of The Feed Science Podcast Show, Dr. Gretchen Mosher, Professor at Iowa State University, explains how near-infrared spectroscopy (NIR) is transforming feed ingredient testing and decision-making in the grain and feed industry. She discusses sampling accuracy, testing precision, and how analytical data can drive better risk management and product value. Learn how to optimize feed quality and safety through smarter testing. Listen now on all major platforms!

“Foreign material and adulteration can be detected early using near-infrared and AI-assisted testing methods.”

Meet the guest: Dr. Gretchen Mosher is a Professor in the Department of Agricultural and Biosystems Engineering at Iowa State University. Her work focuses on system safety, traceability, and risk analysis in grain and feed ingredient systems, emphasizing how people and technology interact within these processes. She also leads the Grain Testing Laboratory, advancing the use of analytical tools such as near-infrared spectroscopy to improve feed quality and safety.

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What will you learn: 

• (00:00 ) Highlight
• (00:43 ) Introduction
• (02:03 ) Near-infrared testing
• (03:54 ) Ingredient variability
• (06:56 ) Contamination detection
• (10:52 ) Risk management
• (26:59 ) Sampling accuracy
• (29:44 ) Final Questions

The Feed Science Podcast Show is trusted and supported by innovative companies like:

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